Sharp, Richard R.

Patient apprehensions about the use of artificial intelligence in healthcare

Richardson, J. P., Smith, C., Curtis, S., Watson, S., Zhu, X., Barry, B., & Sharp, R. R. (2021) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 424

Identification of Anonymous MRI Research Participants with Face-Recognition Software

Schwarz, C. G., Kremers, W. K., Therneau, T. M., Sharp, R. R., Gunter, J. L., Vemuri, P., Arani, A., Spychalla, A. J., Kantarci, K., Knopman, D. S., et al. (2019) · New England Journal of Medicine

Face recognition and analysisFace Recognition and Perception

Cited by 215

Race, Ethnicity, and Genomics: Social Classifications as Proxies of Biological Heterogeneity

Foster, M. W., & Sharp, R. R. (2002) · Genome Research

Race, Genetics, and SocietyForensic and Genetic Research

Cited by 200

Direct-to-Consumer Testing 2.0: Emerging Models of Direct-to-Consumer Genetic Testing

Allyse, M. A., Robinson, D. H., Ferber, M. J., & Sharp, R. R. (2018) · Mayo Clinic Proceedings

Biomedical Ethics and RegulationMedical and Health Sciences Research

Cited by 139

Assessing Socioeconomic Bias in Machine Learning Algorithms in Health Care: A Case Study of the HOUSES Index

Juhn, Y. J., Ryu, E., Wi, C.-I., King, K. S., Malik, M., Romero-Brufau, S., Weng, C., Sohn, S., Sharp, R. R., & Halamka, J. D. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareEthics and Social Impacts of AI

Cited by 83

Helping patients make informed choices about probiotics: a need for research

Sharp, R. R., Achkar, J.-P., Brinich, M. A., & Farrell, R. M. (2009) · The American Journal of Gastroenterology

Probiotics and Fermented FoodsComplementary and Alternative Medicine Studies

Cited by 43